TLDR:
- Daloopa, an AI-powered historical data provider, raised $18M in Series B funding.
- The funding will be used to innovate proprietary algorithms, improve data quality in financial services, and expand into new markets.
Daloopa, a NYC-based AI-powered historical data provider, has raised $18 million in Series B funding. The round was led by Touring Capital with participation from Morgan Stanley and existing investor, Nexus Venture Partners. The company, led by co-founders Daniel Chen (COO), Jeremy Huang (CTO), and Thomas Li (CEO), aims to use the funds to further innovate its proprietary algorithm and build product solutions that enhance data quality in the financial services industry. They also plan to accelerate their go-to-market strategy and expand into new markets, particularly in Europe and Asia.
Daloopa has developed AI-driven technology to source, organize, and distribute historical datasets globally. Their AI-first approach helps buy-side and sell-side financial institutions meet time-critical data discovery requirements during earnings and model building workflows, ultimately accelerating an analyst’s time to insight. This funding will enable Daloopa to continue developing cutting-edge solutions and expand their reach in the financial services industry.
